sector-overview

sector-overview is a skill for Claude Code from cyijun/china-financial-services. It costs 64 tokens per session (407 once invoked), scanned A, original, Apache-2.0.

A research method for building a verifiable overview of an industry or investment theme in China’s A-share stock market. It covers the market’s boundaries, size, value chain, profits, supply, demand, policies, and companies.

In plain words
What is it for?
Use it to prepare industry research, compare competitors, study market cycles and policy effects, map relevant listed companies, and build evidence-based scenarios without giving trading recommendations.
Why use it?
Industry labels do not always show how much revenue or profit a company gets from that theme. This method separates verified business exposure from broad concepts and highlights missing or uncertain data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the china-market-researcher plugin — 17 skills, 1 agent shipped together

Good fit Use it to prepare industry research, compare competitors, study market cycles and policy effects, map relevant listed companies, and build evidence-based scenarios without giving trading recommendations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyijun/china-financial-services/sector-overview
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add cyijun/china-financial-services --skill sector-overview
Clone the repo
git clone --depth 1 https://github.com/cyijun/china-financial-services

Made for: Claude Code.

Or install china-market-researcher, the plugin that ships this one along with the rest of its 17 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sector-overview

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyijun/china-financial-services/sector-overview/github.svg)](https://agentmods.dev/skills/cyijun/china-financial-services/sector-overview)
Your own site
<a href="https://agentmods.dev/skills/cyijun/china-financial-services/sector-overview"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/sector-overview/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sector-overview

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyijun/china-financial-services/sector-overview"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/sector-overview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 407 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.00407
Opus 5 $0.00032 $0.00204
Sonnet 5 $0.00013 $0.00081
Haiku 4.5 $0.00006 $0.00041

Measured 11d ago against content hash 6d923c30ffcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

sector-overview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/china-market-researcher/skills/sector-overview/SKILL.md · 22 lines

What it actually says

A股行业概览

工作流

  1. 固定as_of、行业定义、地理范围、产业链边界、统计口径和股票池。
  2. 先调用a-share-research-evidence;高影响政策、产能和市场规模回到官方/原始材料。
  3. TAM采用供给、需求或收入法,写明分子、分母、币种、含税/不含税、出厂/终端、重复计算和数据期;不能验证时给范围。
  4. 画价值链并标出利润池、议价关系、进口依赖、关键瓶颈、产能建设周期和替代路径。
  5. 分析需求驱动、供给弹性、库存、价格、资本开支和利用率;区分结构增长与周期反弹。
  6. 历史公司集合使用china-market-data的上市/退市与成员区间;当前板块快照不能回填历史。
  7. 政策分析写出条文、实施时间、受影响环节、传导机制、替代解释和验证指标。
  8. 输出基础、偏弱、偏强情景及可观察触发器,不赋精确概率。

输出

输出范围、规模、价值链、利润池、供需周期、竞争结构、政策、股票映射、情景、反证和数据缺口。股票映射必须披露相关收入/利润证据;不提供超配、低配、买卖或仓位动作。

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 22 lines · 64 tokens per session scan A 6d923c30ffcd

Subscribe to this mod's changes

sector-overview is a skill published in the GitHub repository cyijun/china-financial-services (19 stars, last pushed 17d ago), licensed Apache-2.0. It adds 64 tokens to every session and 407 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.